Min Shen
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Biochemical and Molecular Research 11
- Ubiquitin and proteasome pathways 8
- Metabolism, Diabetes, and Cancer 6
-
- Computational Drug Discovery Methods 25
- Co-authors
- Anton Simeonov (28 shared papers)Douglas S. Auld (33 shared papers)Matthew D. Hall (48 shared papers)Alexander Tropsha (5 shared papers)Alexander Golbraikh (4 shared papers)Craig J. Thomas (26 shared papers)Matthew B. Boxer (32 shared papers)Kyle R. Brimacombe (14 shared papers)
- Journals
- Journal of Medicinal Chemistry (9 papers)Bioorganic & Medicinal Chemistry Letters (8 papers)ACS Pharmacology & Translational Science (8 papers)PLoS ONE (7 papers)Cancer Research (5 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Min Shen
158 papers receiving 7.2k citations
Min Shen's Hit Papers
Peers
Comparison fields: 5 of 165
- Computational Theory and Mathematics 1.4k
- Cancer Research 1.1k
- Infectious Diseases 1.1k
- Molecular Biology 3.7k
- Oncology 824
Countries citing papers authored by Min Shen
This map shows the geographic impact of Min Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Min Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Shen more than expected).
Fields of papers citing papers by Min Shen
This network shows the impact of papers produced by Min Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Min Shen. The network helps show where Min Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inhibition of Pyruvate Kinase M2 by Reactive Oxygen Species Contributes to Cellular Antioxidant Responses Hit paper breakdown → | 2011 | 955 |
| 2 | Remdesivir: A Review of Its Discovery and Development Leading to Emergency Use Authorization for Treatment of COVID-19 Hit paper breakdown → | 2020 | 672 |
| 3 | Rational selection of training and test sets for the development of validated QSAR models Hit paper breakdown → | 2003 | 573 |
| 4 | 2014 | 199 | |
| 5 | 2009 | 166 | |
| 6 | 2020 | 165 | |
| 7 | 2013 | 165 | |
| 8 | 2020 | 159 | |
| 9 | 2010 | 149 | |
| 10 | 2003 | 144 | |
| 11 | 2015 | 133 | |
| 12 | 2009 | 131 | |
| 13 | 2016 | 119 | |
| 14 | 2013 | 118 | |
| 15 | 2004 | 113 | |
| 16 | 2012 | 110 | |
| 17 | 2002 | 108 | |
| 18 | 2010 | 105 | |
| 19 | 2009 | 95 | |
| 20 | 2009 | 94 |
About Min Shen
Min Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Oncology and Infectious Diseases, having authored 163 papers that have together received 7.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Cancer, Hypoxia, and Metabolism (19 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Biochemical and Molecular Research (11 papers), COVID-19 Clinical Research Studies (10 papers), Ubiquitin and proteasome pathways (8 papers), Amino Acid Enzymes and Metabolism (8 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Cancer Research (1.1k citations), Infectious Diseases (1.1k citations), Molecular Biology (3.7k citations) and Oncology (824 citations). Min Shen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Anton Simeonov, Douglas S. Auld, Matthew D. Hall, Alexander Tropsha, Alexander Golbraikh, Craig J. Thomas, Matthew B. Boxer, Kyle R. Brimacombe, Richard T. Eastman and Samarjit Patnaik. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Pharmacology & Translational Science, PLoS ONE and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.